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» Factor Analyzed Subspace Modeling and Selection
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TASLP
2008
78views more  TASLP 2008»
13 years 4 months ago
Factor Analyzed Subspace Modeling and Selection
Jen-Tzung Chien, Chuan-Wei Ting
CVPR
2005
IEEE
14 years 6 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang
CISS
2008
IEEE
13 years 6 months ago
Portfolio diversification using subspace factorizations
Abstract-- Successful investment management relies on allocating assets so as to beat the stock market. Asset classes are affected by different market dynamics or latent trends. Th...
Ruairi de Frein, Konstantinos Drakakis, Scott Rick...
BMCBI
2004
79views more  BMCBI 2004»
13 years 4 months ago
A new mixture model approach to analyzing allelic-loss data using Bayes factors
Background: Allelic-loss studies record data on the loss of genetic material in tumor tissue relative to normal tissue at various loci along the genome. As the deletion of a tumor...
Manisha Desai, Mary J. Emond
CORR
2011
Springer
209views Education» more  CORR 2011»
12 years 8 months ago
Analysis and Improvement of Low Rank Representation for Subspace segmentation
We analyze and improve low rank representation (LRR), the state-of-the-art algorithm for subspace segmentation of data. We prove that for the noiseless case, the optimization mode...
Siming Wei, Zhouchen Lin